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Notes on vision-language-action
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DLAM: Distributional Latent Actions with Temporal Constraints
The paper introduces DLAM, a distributional latent-action model that aims to overcome the limitations of existing models by representing each transition as a diagonal Gaussian. This model is designed to learn more…
UESF-Bench: Benchmarking and Probing for Unified Embodied Seeking and Following
Researchers have introduced UESF-Bench, a new benchmark to evaluate the performance of AI agents in language-guided human following tasks. The current benchmarks assume that the target person is visible at the start of…
WCog-VLA: A Dual-Level World-Cognitive Vision-Language-Action Model for End-to-End Autonomous Driving
The research presents WCog-VLA, a novel framework for autonomous driving that bridges semantic world forecasting with generative world evolution. This dual-level model aims to overcome the limitations of existing…
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